HPC Archives - OVHcloud Blog

The security challenges of cloud-based high-performance workloads

Christine Magnier and Antonin Goude / 2022-04-08 / HPC, OVHcloud, Security / OVHcloud Engineering

The security of sensitive information has long been a major concern for organisations. With an increasing amount of data stored electronically, the challenge of keeping personally identifiable and commercially sensitive data secure has become even more pressing — especially with so much of it now stored and processed in the cloud. And, while public sector […]

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Why you don’t need to go all-in to benefit from high-performance workloads

Christine Magnier and Antonin Goude / 2022-03-25 / HPC, OVHcloud / OVHcloud Product News

Technologies like big data, AI and machine learning are now forming the basis of new businesses and enabling established organisations to adopt new business models. They can support the development of new products or services, or improve the internal processes of the organisation. AI, for example, is being used in applications that recognise human emotions

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Why mindset is as important as hardware with high-performance workloads

Christine Magnier and Antonin Goude / 2022-03-09 / HPC, OVHcloud / OVHcloud Product News

One of the most important decisions facing companies now is how their IT infrastructure will evolve over the next decade to handle the explosive increase in data. According to IDC, more than 55 billion devices, including industrial IoT applications and sensors, will generate more than 73ZB of data by 2025, up from 18ZB in 2019.

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What is the real performance of the new High Performance Object Storage?

Jean-Daniel Bonnetot / 2022-02-28 / Benchmarks, HPC, Object Storage / OVHcloud Engineering

The need to share data across different workloads is a constant in IT, but the preferred way of sharing this data has evolved during the last few years. Where most developers would have used file systems (NFS, Samba…) ten years ago, the choice has switched naturally to Object Storage as its features and abstractions were

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